For training each binary problem, logistic regression
is solved by the software LIBLINEAR
[1]}.
We follow many existing works to randomly
split each set to \(80\%\)  for training and \(20\%\) 
for testing.
This process is repeated five times and the average score is presented.
The same training/testing split is used across the
different graph representations. More details on experimental settings are given
in the supplementary materials.
